Results 241 to 250 of about 210,196 (287)

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Norm-SVR for the Enhancement of Single-Cell Metabolomic Stability in ToF-SIMS. [PDF]

Metabolites
Liu M, Ma H, Fang X, Chen Y, Wang Z, Ma X.   +5 more
europepmc   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan   +6 more
wiley   +1 more source

Enhancing detection of low‑abundance metabolites in proton NMR through band‑selective suppression and presaturation. [PDF]

Nat Prod Bioprospect
Singh U, Al Ahmadi RZ, Al-Nemi R, Dhahri M, Alarawi MS, Aziz A, Bushulaybi FA, Mashtoly TA, Emwas AH, Jaremko L, Jaremko M.   +10 more
europepmc   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis. [PDF]

JACS Au
El Abiead Y, Mohanty I, Xing S, Rutz A, Charron-Lamoureux V, Damiani T, Lu W, Patti GJ, Zamboni N, Yanes O, Dorrestein PC.   +10 more
europepmc   +1 more source

Extramedullary Disease—Achilles Heel in Myeloma?

American Journal of Hematology, EarlyView.
ABSTRACT Despite advances in therapy, extramedullary disease (EMD) remains an aggressive form of multiple myeloma associated with poor outcomes. Patients with true EMD, in which plasmacytomas have become completely independent of bone, have a particularly poor prognosis. The pathogenesis of EMD is driven by complex mechanisms involving loss of adhesion
Shaji Kumar, Joshua Richter, Saad Z. Usmani, Yael C. Cohen, Jing Christine Ye, María‐Victoria Mateos, Vania Hungria, Elena Zamagni   +7 more
wiley   +1 more source

<i>xcms</i> in Peak Form: Now Anchoring a Complete Metabolomics Data Preprocessing and Analysis Software Ecosystem. [PDF]

Anal Chem
Louail P, Brunius C, Garcia-Aloy M, Kumler W, Storz N, Stanstrup J, Treutler H, Vangeenderhuysen P, Witting M, Neumann S, Rainer J.   +10 more
europepmc   +1 more source

Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT A substantial body of research examines the potential of gene‐expression‐based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors such as study design and model selection on the performance of gene‐expression‐based ...
Ali Razavi, Brittany Arensman, Eric J. Barnett, Leo A. Lee, Stephen V. Faraone, Stephen J. Glatt, Jonathan L. Hess   +6 more
wiley   +1 more source

mzLearn as a data-driven LC/MS signal detection algorithm that enables pre-trained generative models for untargeted metabolomics. [PDF]

Commun Chem
Pirhaji L, Eaton J, Jeewajee AK, Zhang M, Morris M, Karasarides M.   +5 more
europepmc   +1 more source